Principal AI​/ML Engineer; Language Model; TS​/SCI; S

Job Category: ENG

Requisition Number: PRINC
002818

Posted: April 5, 2025

Employment Type: Full-Time

Location: On‑site

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Stratagem Group Aurora
3855 Lewiston St
Suite 250
Aurora, CO 80011, USA

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next‑generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that’s of interest to you.

Responsibilities:

Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers

• Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
• Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
• Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
• Build custom applications with LLM frameworks such as Lang Chain, DSPy
• Deploy LLM solutions across cloud‑based and local resources using kubernetes (llama.ccp, vllm etc)
• Analyze large multi‑domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
• Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
• Interface with both internal and external leadership to communicate technical status

Required Qualifications:

• BS in machine learning, computer science, mathematics, or related fields.
• 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
• Fine‑tuning foundational models
  • Steering Techniques (e.g Sparse auto encoders, representation tuning)
  • Building adapters to use foundational models (e.g. PEFT, llama factory)
• Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
• Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
• Using LLM Frameworks (e.g. Lang Chain, DSPy)
• Using AI APIs ( e.g AWS Bedrock, OpenAI)
• Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
• Developing UIs with Re Act
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. PyTorch, Tensor Flow, Keras, OpenCV, Num Py, Pandas, Polars, scikit‑learn, etc.)
• Active TS/SCI U.S. Government Security Clearance

Preferred Qualifications:

• MS or PhD in machine learning, computer science, mathematics, or related fields.
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following Computer Vision domains:
  • Large Language Models and experience identifying ways to incorporate them into new areas and applications
  • Applying Transformer‑based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
  • Object detection algorithms such as YOLO and Faster‑RCNN
  • Natural Language Processing algorithms such as BERT
  • Generative Adversarial Networks and…